Data Collection:I gather data from various sources (databases, spreadsheets, surveys, etc.).I Extracted data using tools like SQL, Excel, or APIs and Ensured data accuracy during the collection process.Data Cleaning and Preparation:identifying and rectifying data quality issues (removing duplicates, handling missing values).Data Analysis:I Perform basic exploratory data analysis (EDA) to identify patterns, trends, and outliers.I Applied statistical methods to derive insights from the data.Using tools like Excel, SQL, and Python to conduct analysis.Visualizing data using tools like Excel, Tableau, Power BI, or Google Data Studio.Interpreting data to provide actionable insights for decision-making.I Identified key performance indicators (KPIs) relevant to the business.I Ensure proper tracking of analysis methods and data changes for future reference.

I Collected data from production processes or business operations.I Analyzed data to evaluate production outputs, performance metrics, and other key indicators.I Assisted in simulations and modeling to forecast performance, project efficiency gains, or test proposed changes to systems.I Assisted in preparing technical documentation, such as process flowcharts, standard operating procedures (SOPs), and project reports.I Created presentations to communicate findings, data, and recommendations to supervisors and stakeholders.